Dataset Versions

v5

2023-08-31 11:30am

Generated on Aug 31, 2023

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 84%
21717Images
Valid Set 11%
2898Images
Test Set 5%
1230Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Shear: ±20° Horizontal, ±40° Vertical
Hue: Between -68° and +68°
Noise: Up to 7% of pixels
Cutout: 12 boxes with 12% size each

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